This summary explains the Solaris Flight Coordination AI in terms familiar to an aviation professional, stripping away the technical jargon while keeping the operational logic intact. The Problem: "Email Static" In private aviation, a single flight update from a pilot often comes in a "machine-gun" burst of five different emails. One mentions a tail swap, the next mentions crew rest, the third adds a leg to Denver, and the fourth corrects the fuel load. Currently, your coordinators have to read all five, figure out which info is the newest, manually check if the crew is still legal, and make sure the new tail is actually ready to fly. This is where mistakes happen—someone acts on the old tail number or misses a 10-hour rest violation because the info was buried in a long thread. The Solution: The "Digital Dispatcher" Think of this AI not as a chatbot, but as a highly disciplined Junior Dispatcher that sits in front of the coordinator’s inbox. It doesn't just pass emails through; it processes them through four specific filters: The "One Flight, One File" Filter (Synthesis) The AI recognizes that those five emails are all about the same trip, even if the pilot changes the tail number or the subject line. Instead of five alerts, the coordinator sees one digital flight card. The Logic: If Message #3 says "Actually, use N789TX," the AI automatically updates the flight card. It doesn’t delete the old info (it keeps an audit trail), but it ensures the coordinator is always looking at the "Current Truth." The "Legality Gatekeeper" (Triage) The AI is programmed with Part 135 regulations. It looks at the pilot’s messages and asks: Do I have enough info to say this crew is legal? No "Guessing": If a pilot says "We’re tired, might be tight on rest," the AI won't just mark it "Legal" or "Illegal." It flags it as High Priority: Missing Info. It tells the coordinator: "I can't calculate legality until you tell me if this is a 135.267 unscheduled trip or a scheduled leg, and exactly what time they went 'wheels up' yesterday." Prioritization: It ranks tasks. A fuel deadline that expires in 20 minutes or a confirmed duty-time violation goes to the top of the list in Red. A simple tail swap for a flight three days away stays in Green. The "Transfer Portal Target Board" (Planning) Because the AI is tracking every pilot’s rest and flight hours in real-time, it builds a "Target Board" for the next 5 years. It looks at your 2026–2031 schedule and predicts where you’ll run out of pilots. It identifies which pilots are "burning out" (hitting their 500-hour quarterly limits) and suggests moving them to different bases where the "Base Need" is higher. It treats your crew like a roster, making sure you have the right type-rated pilots in the right seats before the schedule breaks. Protecting the "Secret Sauce" (Patents) The way this system handles aviation-specific data (like how it reconciles tail swaps and Part 135 rules) is unique to Solaris. The AI is set up to automatically document these "smart moves" so the company can file for patents. This ensures that your competitors can't just copy your high-efficiency workflow. A Real-World Example Before the AI: Captain Riley sends 5 emails in 10 minutes. Your coordinator’s phone pings 5 times. They have to scroll through the whole thread to realize: The tail changed to N789TX. The fuel needs to be ordered in the next 15 minutes. The crew might be illegal because of a new leg added to Denver. Result: The coordinator is stressed, and there’s a 20% chance they miss the fuel deadline while trying to calculate the crew's rest. After the AI: The coordinator gets one notification. They open a single dashboard that says: URGENT: Fuel order for N789TX must be in by 09:00 (12 mins left). ACTION REQUIRED: I need the Crew Rest Start Time to confirm if the Denver leg is legal. NOTE: Tail was changed from N456TX to N789TX due to maintenance. Result: The coordinator handles the fuel immediately, asks the pilot one specific question about rest, and the flight stays on tracks.